Data Scientist

Job Overview

USC and GC only

We are seeking a dynamic and innovative Data Scientist to join our forward-thinking analytics team. In this role, you will harness the power of big data, machine learning, and artificial intelligence (AI) to uncover actionable insights that drive strategic decision-making. Your expertise will enable us to develop sophisticated models, optimize data pipelines, and deploy scalable solutions across diverse platforms. This is an exciting opportunity for someone passionate about transforming complex data into impactful business outcomes through cutting-edge technologies and methodologies.

Duties

• Design, develop, and implement advanced machine learning models using frameworks such as TensorFlow and other AI tools to solve real-world problems.
• Conduct data mining and exploratory data analysis on large datasets utilizing SQL, Python, R, and Spark to identify patterns, trends, and anomalies.
• Build robust ETL (Extract, Transform, Load) pipelines with tools like Talend and Bash scripts to ensure seamless data flow from multiple sources into centralized databases.
• Collaborate with cross-functional teams to understand business needs and translate them into technical specifications for model training and deployment.
• Optimize database design and manage big data environments using Hadoop, Spark, and AWS cloud services for scalable analytics solutions.
• Apply unsupervised learning techniques for clustering, anomaly detection, and natural language processing tasks to enhance predictive capabilities.
• Deploy machine learning models into production environments ensuring scalability, reliability, and performance monitoring.
• Engage in continuous research on emerging AI trends such as quantum engineering applications and linked data integration to keep the organization at the forefront of innovation.

Skills

• Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), and SQL for data manipulation and automation.
• Extensive experience with machine learning frameworks such as TensorFlow, SAS, Spark MLlib, and R for model development.
• Strong knowledge of big data technologies like Hadoop, Spark, and AWS cloud infrastructure for handling large-scale datasets.
• Expertise in database design principles and experience working with relational databases as well as linked data concepts.
• Familiarity with natural language processing techniques for text analysis projects involving unstructured data.
• Demonstrated ability to develop end-to-end analytics solutions from data ingestion through model deployment.
• Experience with analytics visualization tools such as Looker or similar platforms to communicate insights effectively.
• Knowledge of AI concepts including model training workflows, unsupervised learning algorithms, and AI ethics considerations.
• Ability to work collaboratively in a fast-paced environment while managing multiple projects simultaneously. Join us if you’re eager to leverage your expertise in big data analytics, machine learning frameworks, cloud computing (AWS), natural language processing (NLP), and quantum engineering—driving innovation that shapes the future of our organization!

Pay: $55.00 - $65.00 per hour

Work Location: Remote